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Finding Missing Interactions of the Arabidopsis thaliana Root Stem Cell Niche Gene Regulatory Network

Overview of attention for article published in Frontiers in Plant Science, January 2013
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Title
Finding Missing Interactions of the Arabidopsis thaliana Root Stem Cell Niche Gene Regulatory Network
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00110
Pubmed ID
Authors

Eugenio Azpeitia, Nathan Weinstein, Mariana Benítez, Luis Mendoza, Elena R. Alvarez-Buylla

Abstract

Over the last few decades, the Arabidopsis thaliana root stem cell niche (RSCN) has become a model system for the study of plant development and stem cell niche dynamics. Currently, many of the molecular mechanisms involved in RSCN maintenance and development have been described. A few years ago, we published a gene regulatory network (GRN) model integrating this information. This model suggested that there were missing components or interactions. Upon updating the model, the observed stable gene configurations of the RSCN could not be recovered, indicating that there are additional missing components or interactions in the model. In fact, due to the lack of experimental data, GRNs inferred from published data are usually incomplete. However, predicting the location and nature of the missing data is a not trivial task. Here, we propose a set of procedures for detecting and predicting missing interactions in Boolean networks. We used these procedures to predict putative missing interactions in the A. thaliana RSCN network model. Using our approach, we identified three necessary interactions to recover the reported gene activation configurations that have been experimentally uncovered for the different cell types within the RSCN: (1) a regulation of PHABULOSA to restrict its expression domain to the vascular cells, (2) a self-regulation of WOX5, possibly by an indirect mechanism through the auxin signaling pathway, and (3) a positive regulation of JACKDAW by MAGPIE. The procedures proposed here greatly reduce the number of possible Boolean functions that are biologically meaningful and experimentally testable and that do not contradict previous data. We believe that these procedures can be used on any Boolean network. However, because the procedures were designed for the specific case of the RSCN, formal demonstrations of the procedures should be shown in future efforts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Germany 1 1%
France 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Ph. D. Student 13 14%
Professor > Associate Professor 9 10%
Student > Master 9 10%
Professor 7 8%
Other 21 23%
Unknown 18 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 53%
Biochemistry, Genetics and Molecular Biology 13 14%
Computer Science 4 4%
Mathematics 2 2%
Environmental Science 1 1%
Other 4 4%
Unknown 19 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Frontiers in Plant Science
#15,844
of 19,940 outputs
Outputs of similar age
#248,737
of 280,717 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
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